SvectorDB
SvectorDB: A low-cost serverless vector database for AWS workloads that prefer usage-based billing. Ranked #13 of 42 in Vector Database Hosting by our editors (8.1/10); pricing: Free plan; best for pay-per-request vector search.
At a glance
- Editor score8.1 / 10
- PricingFree plan
- Best forPay-per-request vector search
- Free planYes
- Paid from$0.0003425/GB usage-based
- Facts checked22 Sep 2026
Where it wins
- Free sandbox databases cover read, write, and storage usage
- Lucene-compatible filtering pairs with vector similarity search
- Built-in text and image embeddings reduce supporting services
Where it doesn't
- Standard pricing adds separate read, write, and storage charges
- Deployment is listed as single-region
- Platform fit centers on AWS infrastructure and integrations
Our verdict on SvectorDB
SvectorDB is a managed, serverless vector database for applications running on AWS. It supports vector similarity search, Lucene-compatible metadata filtering, immediate update consistency, and built-in text and image embedding APIs. Developers can access it through JavaScript or TypeScript clients, Python, or OpenAPI, while API-key authentication covers service access. It is a fit for teams that want request-based billing instead of a fixed monthly database plan, particularly when their application already uses AWS infrastructure.
Pricing is divided between sandbox and standard databases, with charges based on activity and storage. Sandbox read requests, write requests, and storage are free; the available operations include Get, Query, List, Set, and Delete. Standard databases charge $0.005 per 1,000 read requests, $0.02 per 1,000 write requests, and $0.0003425 per GB hour for database and index storage. This structure suits workloads with variable traffic or early experimentation, but teams must account for separate request types and storage when estimating ongoing costs.
AWS integration is a notable part of the product’s scope. AWS CloudFormation resource integration can connect database provisioning with infrastructure configuration, and the service is designed for serverless, pay-per-request operation. Immediate consistency is useful when applications need updates to become available without a stated delay. SvectorDB is a sensible choice for AWS-focused developers seeking low usage pricing, filtering, embeddings, and a free sandbox. Teams needing multi-region deployment or a broader platform footprint should consider alternatives with those capabilities.
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SvectorDB pricing
All 6 SvectorDB plans and prices →
SvectorDB fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $0.0003425/GB usage-based |
| Included storage | Not verified |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Serverless scaling | Yes |
| Deployment regions | Single-region |
| Maximum dimensions | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Tickets, Docs |
| Built for | Small business, Mid-market (editorial estimate) |
| Integrations | 1 integrations: AWS CloudFormation See all → |
| Pricing | Free plan (source) |
| Website | svectordb.com |
| Facts checked | 22 Sep 2026 |
SvectorDB integrations
SvectorDB lists 1 integrations on its own site.
- AWS CloudFormation
See all SvectorDB integrations →
Alternatives to SvectorDB
- ChromaA flexible vector database for hybrid retrieval, multimodal search, and self-hosted AI applications.9.4
- QdrantA flexible vector database for semantic, hybrid, and filtered search at scale.9.3
- WeaviateA flexible vector database for production hybrid search across cloud and self-managed deployments.9.1
See all SvectorDB alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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